Quality Analysis of Guava Fruit Using Visual Appearance - Tapa blanda

This research work is related to quality analysis is purposed work in which computer vision system, human vision system and image acquisition system are used to identify and measure quality level of a guava fruit and that (fruit) may be un-ripe, partially ripe, ripe (ready to eat) and also be a over ripe fruit. The computer technology is used to quality analysis of guava fruit by means of grayscale color recognition by using visual appearance of the guava fruit. Further this research work provides an accurate, simple analysis of any size and shape using correct electronic nose and other resource, which gives its big advantage in business of food industry, food marketing and engineering.In this research can be used also for analysis internal quality by using destructive method which related to internal parameter of fruit product. Which also used for colored images for both internal and external inspection by X-Ray machine methodology. This work can be implemented for more different vegetables and fruits, where color play a key role for quality analysis, so this research can be taken in P.hd. level or higher level work and it is also very costly because laboratory work involve.

Er. Hassan Sardar has obtained diploma in CE in 2002, B.Tech.in CSE in 2005 and M.Tech.*(P.T.YCoE T-SABO) in C.E.in 2011. He has above 6 year experience in teaching. He is the author of several research paper published in international\National Conferences. He is working at Punjabi University Babajogipeer Neigh. Campus ralla, MANSA,PUNJAB,INDIA